Index: JUN03305.DAT
===================================================================
--- JUN03305.DAT	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
+++ JUN03305.DAT	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -0,0 +1,16403 @@
+FILE: JUN03305.SA2_LPO_Y950   CREATED: Thu, Jun 12, 2014 1:44:37 PM
+LABEL: Rad 2200Hz 7% lam in 40% sugar                              
+MON CNT   LAMBDA (A)  DET_OFF(cm)   DET_DIST(m)   TRANS   THICK(cm)
+1e+08  6       0     10.547     0.72415     0.1
+BCENT(X,Y)   A1(mm)   A2(mm)   A1A2DIST(m)   DL/L   BSTOP(mm)   DET_TYP  
+64.45  63.94  50    10    11.123    0.1    76.2    ORNL  
+SAM: JUN03305.SA2_LPO_Y950
+BGD: JUN03284.SA2_LPO_Y929,
+EMP: JUN03281.SA2_LPO_Y926,
+DIV: PLEX_16MAY03_NG7.DIV,
+MASK: DEFAULT.MASK,
+ABS Parameters (3-6): TSTAND=1;DSTAND=1;IZERO=227.56;XSECT=1;SDEV=1.276
+Average Choices: AVTYPE=QxQy_ASCII;SAVE=Yes;NAME=Auto;PLOT=Yes;
+
+*** Data written from ABS folder and may not be a fully corrected data file ***
+Data columns are Qx - Qy - I(Qx,Qy) - err(I) - Qz - SigmaQ_parall - SigmaQ_perp - fSubS(beam stop shadow)
+Error wave is properly propagated through all reduction steps 8/2011
+ASCII data created Thu, Jun 12, 2014 1:44:37 PM
+
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+0.022597311	0.031780105	2.0978115	3.7626588	0.00072629133	0.0020196063	0.0012926324	1
+0.023093171	0.031779774	3.5972211	3.0962293	0.00073710643	0.0020288944	0.0012926819	1
+0.023589017	0.031779438	0	2.5031865	0.00074815599	0.0020383373	0.0012927275	1
+0.024084846	0.031779096	3.5255222	3.5636356	0.00075944007	0.0020479329	0.0012927693	1
+0.024580659	0.031778749	-1.9898611	2.8172443	0.00077095861	0.0020576795	0.0012928076	1
+0.025076455	0.031778391	4.7848024	3.3210149	0.00078271161	0.0020675745	0.0012928423	1
+0.025572235	0.031778026	3.8637438	3.0963492	0.00079469901	0.0020776163	0.0012928736	1
+0.026067996	0.031777654	3.6927881	3.5637493	0.00080692075	0.0020878024	0.0012929017	1
+0.026563741	0.031777278	3.7128644	3.0964007	0.0008193769	0.0020981312	0.0012929266	1
+0.027059468	0.03177689	0	2.5033274	0.00083206745	0.0021086007	0.0012929485	1
+0.027555175	0.031776499	6.3606181	3.3211546	0.00084499223	0.0021192087	0.0012929676	1
+0.028050866	0.0317761	0	2.5033712	0.00085815135	0.0021299531	0.0012929839	1
+0.028546536	0.031775694	0.057539437	3.1162682	0.0008715447	0.0021408321	0.0012929975	1
+0.029042188	0.031775277	3.9191954	3.0965378	0.00088517234	0.0021518436	0.0012930086	1
+0.029537821	0.031774856	0	2.5034399	0.00089903414	0.0021629857	0.0012930173	1
+0.030033434	0.031774431	2.3335772	2.8355994	0.00091313018	0.0021742566	0.0012930236	1
+0.030529026	0.031773996	0	2.5034876	0.00092746032	0.0021856541	0.0012930278	1
+0.031024598	0.031773552	0	2.5035121	0.00094202458	0.0021971765	0.0012930298	1
+0.031520151	0.031773102	0	2.5035369	0.000956823	0.0022088217	0.0012930296	1
Index: Kernel-CapCyl.cpp
===================================================================
--- Kernel-CapCyl.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
+++ Kernel-CapCyl.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -0,0 +1,72 @@
+__kernel void CapCylinderKernel(__global const float *qx, __global const float *qy, __global float *__ptvalue, __global float *vol_i
+const float rad_cyl, const float rad_cap, const float length, const float thet, const float ph, const float sub,
+const float scale, const float phi_weight, const float theta_float, const float rad_cap_weight, const float rad_cyl_weight,
+const float length_weight, const int total, const int size)
+//ph is phi, sub is sldc-slds, thet is theta
+{
+    int i = get_global_id(0);
+    if(i < total)
+    {
+        float q = sqrt(qx[i]*qx[i] + qy[i]*qy[i])
+        float pi = 4.0*atan(1.0);
+        float theta = thet*pi/180.0;
+        float phi = ph*pi/180.0;
+        float cyl_x = cos(theta)*cos(phi);
+        float cyl_y = sin(theta);
+        float cos_val = cyl_x*qx[i]/q + cyl_y*qy[i]/q;
+        float alpha = acos(cos_val);
+        float yyy=0; float ans1=0; float ans2=0; float y=0; float xx=0; float ans=0; float zij=0; float be=0
+
+        float hDist = -1.0*sqrt(fabs(rad_cap*rad_cap-rad_cyl*rad_cyl));
+        vol_i[i] = pi*rad_cyl*rad_cyl*len_cyl+2.0*pi/3.0*((rad_cap-hDist)*(rad_cap-hDist)*(2*rad_cap+hDist));
+        float vaj = -1.0*hDist/rad_cap;
+
+        for(j=0;j<76;j++) //the value 76 was pre-set in the kernel...
+        {
+            zij = ( Gauss76Z[j]*(1.0-vaj) + vaj + 1.0 )/2.0;    //the "t" dummy
+            yyy = Gauss76Wt[j]*ConvLens_kernel(dp,q,zij,alpha);    //uses the same Kernel as the Dumbbell, here L>0
+            summj += yyy;
+        }
+        float inner = (1.0-vaj)/2.0*summj*4.0*pi*rad_cap*rad_cap*rad_cap;
+        float arg1 = q*length/2.0*cos(alpha);
+        float arg2 = q*rad_cyl*sin(alpha);
+        yyy = inner;
+
+        if(arg2 == 0) {be = 0.5;}
+        else {
+            float ax=fabs(arg2);
+            if ((ax < 8.0) {
+                y=arg2*arg2;
+                ans1=arg2*(72362614232.0+y*(-7895059235.0+y*(242396853.1+y*(-2972611.439+y*(15704.48260+y*(-30.16036606))))));
+                ans2=144725228442.0+y*(2300535178.0+y*(18583304.74+y*(99447.43394+y*(376.9991397+y*1.0))));
+                ans=ans1/ans2;
+            } 
+            else {
+                y=64.0/(ax*ax);
+                xx=ax-2.356194491;
+                ans1=1.0+y*(0.183105e-2+y*(-0.3516396496e-4+y*(0.2457520174e-5+y*(-0.240337019e-6))));
+                ans2=0.04687499995+y*(-0.2002690873e-3+y*(0.8449199096e-5+y*(-0.88228987e-6+y*0.105787412e-6)));
+                ans=sqrt(0.636619772/ax)*(cos(xx)*ans1-(8.0/ax)*sin(xx)*ans2);
+                if (arg2 < 0.0) {ans *= -1;}
+	        }
+	        be = ans/arg2
+        }
+
+        if(arg1 == 0.0) {   //limiting value of sinc(0) is 1; sinc is not defined in math.h
+            yyy += pi*rad_cyl*rad_cyl*length*2.0*be;
+        } 
+        else {
+            yyy += pi*rad_cyl*rad_cyl*length*sin(arg1)/arg1*2.0*be;
+        }
+        float answer=yyy*yyy*1.0e8*sub*sub*scale/pi*rad_cyl*rad_cyl*length+2.0*pi*(2.0*rad_cap*rad_cap*rad_cap/3.0+rad_cap*rad_cap*hDist-hDist*hDist*hDist/3.0);
+        answer/=sin(alpha)
+
+        _ptvalue[i] = rad_cyl_weight*length_weight*rad_cap_weight*theta_weight*phi_weight*vol_i[i]*answer
+        if (_ptvalue[i] == INFINITY || _ptvalue == NAN){
+            _ptvalue[i] = 0.0;
+        }
+        if (size>1) {
+            _ptvalue[i] *= fabs(cos(thet*pi/180.0));
+        }
+    }
+}
Index: Kernel-CoreShellCylinder.cpp
===================================================================
--- Kernel-CoreShellCylinder.cpp	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ Kernel-CoreShellCylinder.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -37,22 +37,5 @@
         if (besarg1 == 0.0){be1 = 0.5;}
         else{
-            if((ax=fabs(besarg1)) < 8.0)
-            {
-                y=besarg1*besarg1;
-                ans1=besarg1*(72362614232.0+y*(-7895059235.0+y*(242396853.1+y*(-2972611.439+y*(15704.48260+y*(-30.16036606))))));
-                ans2=144725228442.0+y*(2300535178.0+y*(18583304.74+y*(99447.43394+y*(376.9991397+y*1.0))));
-                ans=ans1/ans2;
-            }
-            else
-            {
-                z=8.0/ax;
-                y=z*z;
-                xx=ax-2.356194491;
-                ans1=1.0+y*(0.183105e-2+y*(-0.3516396496e-4+y*(0.2457520174e-5+y*(-0.240337019e-6))));
-                ans2=0.04687499995+y*(-0.2002690873e-3+y*(0.8449199096e-5+y*(-0.88228987e-6+y*0.105787412e-6)));
-                ans=sqrt(0.636619772/ax)*(cos(xx)*ans1-z*sin(xx)*ans2);
-                if (besarg1 < 0.0) {ans *= -1;}
-            }
-            be1 = ans/besarg1;
+            bel = NR_BessJ1(besarg1)/besarg1
         }
         if (besarg2 == 0.0){be2 = 0.5;}
@@ -109,52 +92,2 @@
 
 
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Index: Kernel-Cylinder.cpp
===================================================================
--- Kernel-Cylinder.cpp	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ Kernel-Cylinder.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -1,6 +1,6 @@
-__kernel void CylinderKernel(__global const float *qx, global const float *qy, __global float *_ptvalue, const float sub,
-const float rr, const float h, const float scale, const float radius_weight, const float length_weight,
-const float theta_weight, const float phi_weight, const float cyl_theta,
-const float cyl_phi, const int count, const int size)
+__kernel void CylinderKernel(__global const real *qx, global const real *qy, __global real *_ptvalue, const real sub,
+const real rr, const real h, const real scale, const real radius_weight, const real length_weight,
+const real theta_weight, const real phi_weight, const real cyl_theta,
+const real cyl_phi, const int count, const int size)
 {
 	// qq is the q-value for the calculation (1/A)
@@ -11,52 +11,41 @@
     if(i < count)
     {
-        float qq = sqrt(qx[i]*qx[i]+qy[i]*qy[i]);
+        real qq = sqrt(qx[i]*qx[i]+qy[i]*qy[i]);
 
-        float pi = 4.0*atan(1.0);
-        float theta = cyl_theta*pi/180.0;
-        float phi = cyl_phi*pi/180.0;
+        real pi = 4.0*atan(1.0);
+        real theta = cyl_theta*pi/180.0;
+        real phi = cyl_phi*pi/180.0;
 
-        float cyl_x = cos(theta)*cos(phi);
-        float cyl_y = sin(theta);
-        float cos_val = cyl_x*(qx[i]/qq) + cyl_y*(qy[i]/qq);
+        real cyl_x = cos(theta)*cos(phi);
+        real cyl_y = sin(theta);
+        real cos_val = cyl_x*(qx[i]/qq) + cyl_y*(qy[i]/qq);
 
-        float alpha = acos(cos_val);
+        real alpha = acos(cos_val);
         if(alpha == 0.0){
             alpha = 1.0e-26;
         }
-        float besarg = qq*rr*sin(alpha);
-        float siarg = qq*h/2*cos(alpha);
+        real besarg = qq*rr*sin(alpha);
+        real siarg = qq*h/2*cos(alpha);
+        real be=0.0; real si=0.0;
 
-	    float xx=0.0; float y=0.0; float bj=0.0; float ans1=0.0; float ans2=0.0; float z=0.0; float answer=0.0;
-	    float contrast=0.0; float form=0.0; float be=0.0; float si=0.0;
+        real bj = NR_BessJ1(besarg);
 
-        float ax = fabs(besarg);
+        real d1 = qq*rr*sin(alpha);
 
-        if(ax < 8.0) {
-            y=besarg*besarg;
-            ans1=besarg*(72362614232.0+y*(-7895059235.0+y*(242396853.1+y*(-2972611.439+y*(15704.48260+y*(-30.16036606))))));
-            ans2=144725228442.0+y*(2300535178.0+y*(18583304.74+y*(99447.43394+y*(376.9991397+y*1.0))));
-            bj=ans1/ans2;
+        if (besarg == 0.0){
+            be = sin(alpha);
         }
         else{
-            z=8.0/ax;
-            y=z*z;
-            xx=ax - 2.356194491;
-            ans1=1.0+y*(0.183105e-2+y*(-0.3516396496e-4+y*(0.2457520174e-5+y*(-0.240337019e-6))));
-            ans2=0.04687499995+y*(-0.2002690873e-3+y*(0.8449199096e-5+y*(-0.88228987e-6+y*0.105787412e-6)));
-            bj=sqrt(0.636619772/ax)*(cos(xx)*ans1-z*sin(xx)*ans2);
-
-            if(besarg < 0.0){bj*=-1;}
+            be = bj*bj*4.0*sin(alpha)/(d1*d1);
+        }
+        if(siarg == 0.0){
+            si = 1.0;
+        }
+        else{
+            si = sin(siarg)*sin(siarg)/(siarg*siarg);
         }
 
-        float d1 = qq*rr*sin(alpha);
-
-        if (besarg == 0.0) {be = sin(alpha);}
-        else {be = bj*bj*4.0*sin(alpha)/(d1*d1);}
-        if(siarg == 0.0) {si = 1.0;}
-        else{si = sin(siarg)*sin(siarg)/(siarg*siarg);}
-
-        form = be*si/sin(alpha);
-        answer = sub*sub*form*acos(-1.0)*rr*rr*h*1.0e8*scale;
+        real form = be*si/sin(alpha);
+        real answer = sub*sub*form*acos(-1.0)*rr*rr*h*1.0e8*scale;
 
         _ptvalue[i] = radius_weight*length_weight*theta_weight*phi_weight*answer*pow(rr,2)*h;
@@ -64,5 +53,5 @@
             _ptvalue[i] *= fabs(cos(cyl_theta*pi/180.0));
         }
-}
+    }
 }
 
Index: Kernel-Lamellar.cpp
===================================================================
--- Kernel-Lamellar.cpp	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ Kernel-Lamellar.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -1,11 +1,15 @@
-__kernel void LamellarKernel(__global const float *qx, global const float *qy, __global float *ret, const float bi_thick,
- const float scale, const float sub, const float background, const int length)
+#ifndef real
+# define real float
+#endif
+
+__kernel void LamellarKernel(__global const real *qx, global const real *qy, __global real *ret, const real bi_thick,
+ const real scale, const real sub, const real background, const int length)
 {
     int i = get_global_id(0);
     if(i < length)
     {
-        float q = sqrt(qx[i]*qx[i]+qy[i]*qy[i]);
-        float pi = 4.0*atan(1.0);
-        float Pq = 2.0*sub*(sub/q)/q*(1.0-cos(q*bi_thick));
+        real q = sqrt(qx[i]*qx[i]+qy[i]*qy[i]);
+        real pi = 4.0*atan(1.0);
+        real Pq = 2.0*sub*(sub/q)/q*(1.0-cos(q*bi_thick));
         ret[i] = 2.0*pi*scale*Pq/(q*q)/bi_thick*1.0e8;
         ret[i] += background;
Index: NR_BessJ1.cpp
===================================================================
--- NR_BessJ1.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
+++ NR_BessJ1.cpp	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -0,0 +1,22 @@
+real NR_BessJ1(real x)
+{
+    real xx=0; real y=0; real ans=0; real ans1=0; real ans2=0;
+    real ax = fabs(x);
+	if (ax < 8.0)
+	{
+		y=x*x;
+		ans1=x*(72362614232.0+y*(-7895059235.0+y*(242396853.1+y*(-2972611.439+y*(15704.48260+y*(-30.16036606))))));
+		ans2=144725228442.0+y*(2300535178.0+y*(18583304.74+y*(99447.43394+y*(376.9991397+y*1.0))));
+		ans=ans1/ans2;
+	}
+	else
+	{
+		y=64.0/(ax*ax);
+		xx= ax-2.356194491;
+		ans1=1.0+y*(0.183105e-2+y*(-0.3516396496e-4+y*(0.2457520174e-5+y*(-0.240337019e-6))));
+		ans2=0.04687499995+y*(-0.2002690873e-3+y*(0.8449199096e-5+y*(-0.88228987e-6+y*0.105787412e-6)));
+		ans=sqrt(0.636619772/ax)*(cos(xx)*ans1-(8.0/ax)*sin(xx)*ans2);
+		if (x < 0.0) {ans*=-1;}
+	}
+	return(ans);
+}
Index: capcylcope.py
===================================================================
--- capcylcope.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
+++ capcylcope.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -0,0 +1,116 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import numpy as np
+from math import asin
+import pyopencl as cl
+from weights import GaussianDispersion
+
+class GpuCapCylinder(object):
+    PARS = {'scale':1, 'rad_cyl':1, 'rad_cap':1, 'length':1, 'sld_capcyl':1e-6, 'sld_solv':0, 'background':0,
+             'theta':0, 'phi':0}
+
+    PD_PARS = ['rad_cyl', 'length', 'rad_cap', 'theta', 'phi']
+
+    def __init__(self, qx, qy):
+
+        self.qx = np.asarray(qx, np.float32)
+        self.qy = np.asarray(qy, np.float32)
+        #create context, queue, and build program
+        self.ctx = cl.create_some_context()
+        self.queue = cl.CommandQueue(self.ctx)
+
+        self.prg = cl.Program(self.ctx, open('Kernel-CapCyl.cpp').read()).build()
+
+        #buffers
+        mf = cl.mem_flags
+        self.qx_b = cl.Buffer(self.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qx)
+        self.qy_b = cl.Buffer(self.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qy)
+        self.res_b = cl.Buffer(self.ctx, mf.WRITE_ONLY, qx.nbytes)
+        self.res = np.empty_like(self.qx)
+        self.vol_i = float(0.0)
+        self.vol_b = cl.Buffer(self.ctx, mf.WRITE_ONLY, self.vol_i.nbytes)
+
+    def eval(self, pars):
+
+        rad_cyl,length,rad_cap,theta,phi = \
+            [GaussianDispersion(int(pars[base+'_pd_n']), pars[base+'_pd'], pars[base+'_pd_nsigma'])
+             for base in GpuCapCylinder.PD_PARS]
+
+        rad_cyl.value, rad_cyl.weight = rad_cyl.get_weights(pars['rad_cyl'], 0, 1000, True)
+        rad_cap.value, rad_cap.weight = rad_cap.get_weights(pars['rad_cap'], 0, 1000, True)
+        length.value, length.weight = length.get_weights(pars['length'], 0, 1000, True)
+        theta.value, theta.weight = theta.get_weights(pars['theta'], -90, 180, False)
+        phi.value, phi.weight = phi.get_weights(pars['phi'], -90, 180, False)
+
+        sum, norm, norm_vol, vol = 0.0, 0.0, 0.0, 0.0
+        size = len(theta.weight)
+        sub = pars['sld_capcyl']-np.float32(['sld_solv'])
+
+        for i in xrange(len(rad_cyl.weight)):
+            for m in xrange(len(rad_cap.weight)):
+                for j in xrange(len(length.weight)):
+                    for k in xrange(len(theta.weight)):
+                        for l in xrange(len(phi.weight)):
+
+                            self.prg.CapCylinderKernel(self.queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b,
+                                        self.vol_b, np.float32(rad_cyl.value[i]), np.float32(rad_cap.value[m]), np.float32(length.value[j]),
+                                        np.float32(theta.value[k]), np.float32(phi.value[l]), np.float32(sub), np.float32(pars['scale']),
+                                        np.float32(phi.weight[l]), np.float32(theta.weight[k]), np.float32(rad_cap.weight[m]),
+                                        np.float32(rad_cyl.weight[i]), np.float32(length.weight[j]), np.uint32(self.qx.size), np.uint32(size))
+
+                            cl.enqueue_copy(self.queue, self.res, self.res_b)
+                            cl.enqueue_copy(self.queue, self.vol_i, self.vol_b)
+
+                            sum += self.res
+                            vol += rad_cyl.weight[i]*length.weight[j]*rad_cap.weight[m]*self.vol_i
+                            norm_vol += rad_cyl.weight[i]*length.weight[j]*rad_cap.weight[m]
+                            norm += rad_cyl.weight[i]*length.weight[j]*rad_cap.weight[m]*theta.weight[k]*phi.weight[l]
+
+        if size > 1:
+            norm /= asin(1.0)
+
+        if vol != 0.0 and norm_vol != 0.0:
+            sum *= norm_vol/vol
+
+        return sum/norm + pars['background']
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Index: compare.py
===================================================================
--- compare.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
+++ compare.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -0,0 +1,111 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import datetime
+from sasmodel import SasModel, load_data, set_beam_stop, plot_data
+
+TIC = None
+def tic():
+    global TIC
+    TIC = datetime.datetime.now()
+
+def toc():
+    now = datetime.datetime.now()
+    return (now-TIC).total_seconds()
+
+def sasview_model(modelname, **pars):
+    modelname = modelname.capitalize()+"Model"
+    sans = __import__('sans.models.'+modelname)
+    ModelClass = getattr(getattr(sans.models,modelname,None),modelname,None)
+    if ModelClass is None:
+        raise ValueError("could not find model %r in sans.models"%modelname)
+    model = ModelClass()
+
+    for k,v in pars.items():
+        if k.endswith("_pd"):
+            model.dispersion[k[:-3]]['width'] = v
+        elif k.endswith("_pd_n"):
+            model.dispersion[k[:-5]]['npts'] = v
+        elif k.endswith("_pd_nsigma"):
+            model.dispersion[k[:-10]]['nsigmas'] = v
+        else:
+            model.setParam(k, v)
+    return model
+
+
+def sasview_eval(model, data):
+    theory = model.evalDistribution([data.qx_data, data.qy_data])
+    return theory
+
+def demo(N=1):
+    import sys
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    if len(sys.argv) > 1:
+        N = int(sys.argv[1])
+    data = load_data('JUN03289.DAT')
+    set_beam_stop(data, 0.004)
+
+    pars = dict(
+        scale=1, radius=64.1, length=266.96, sldCyl=.291e-6, sldSolv=5.77e-6, background=0,
+        cyl_theta=0, cyl_phi=0, radius_pd=0.1, radius_pd_n=10, radius_pd_nsigma=3,length_pd=0.1,
+        length_pd_n=5, length_pd_nsigma=3, cyl_theta_pd=0.1, cyl_theta_pd_n=5, cyl_theta_pd_nsigma=3,
+        cyl_phi_pd=0.1, cyl_phi_pd_n=10, cyl_phi_pd_nsigma=3,
+        )
+
+    model = sasview_model('cylinder', **pars)
+    tic()
+    for i in range(N):
+        cpu = sasview_eval(model, data)
+    cpu_time = toc()*1000./N
+
+    from cylcode import GpuCylinder
+    model = SasModel(data, GpuCylinder, dtype='f', **pars)
+    tic()
+    for i in range(N):
+        gpu = model.theory()
+    gpu_time = toc()*1000./N
+
+    relerr = (gpu - cpu)/cpu
+    print "max(|(ocl-omp)/ocl|)", max(abs(relerr))
+    print "omp t=%.1f ms"%cpu_time
+    print "ocl t=%.1f ms"%gpu_time
+
+    plt.subplot(131); plot_data(data, cpu); plt.title("omp t=%.1f ms"%cpu_time)
+    plt.subplot(132); plot_data(data, gpu); plt.title("ocl t=%.1f ms"%gpu_time)
+    plt.subplot(133); plot_data(data, 1e8*relerr); plt.title("relerr x 10^8"); plt.colorbar()
+    plt.show()
+
+
+if __name__ == "__main__":
+    demo()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Index: coreshellcylcode.py
===================================================================
--- coreshellcylcode.py	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ coreshellcylcode.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -6,27 +6,43 @@
 import pyopencl as cl
 from weights import GaussianDispersion
+from sasmodel import card
+
+def set_precision(src, qx, qy, dtype):
+    qx = np.ascontiguousarray(qx, dtype=dtype)
+    qy = np.ascontiguousarray(qy, dtype=dtype)
+    if np.dtype(dtype) == np.dtype('float32'):
+        header = """\
+#define real float
+"""
+    else:
+        header = """\
+#pragma OPENCL EXTENSION cl_khr_fp64: enable
+#define real double
+"""
+    return header+src, qx, qy
 
 class GpuCoreShellCylinder(object):
-    PARS = {'scale':1, 'radius':1, 'thickness':1, 'length':1, 'core_sld':1e-6, 'shell_sld':1e-6, 'solvent_sld':0,
+    PARS = {'scale':1, 'radius':1, 'thickness':1, 'length':1, 'core_sld':1e-6, 'shell_sld':-1e-6, 'solvent_sld':0,
             'background':0, 'axis_theta':0, 'axis_phi':0}
     PD_PARS = ['radius', 'length', 'thickness', 'axis_phi', 'axis_theta']
 
-    def __init__(self, qx, qy):
-        self.qx = np.asarray(qx, np.float32)
-        self.qy = np.asarray(qy, np.float32)
+    def __init__(self, qx, qy, dtype='float32'):
         #create context, queue, and build program
-        self.ctx = cl.create_some_context()
-        self.queue = cl.CommandQueue(self.ctx)
-        self.prg = cl.Program(self.ctx, open('Kernel-CoreShellCylinder.cpp').read()).build()
+        ctx,_queue = card()
+        src, qx, qy = set_precision(open('NR_BessJ1.cpp').read()+"\n"+open('Kernel-CoreShellCylinder.cpp').read(), qx, qy, dtype=dtype)
+        self.prg = cl.Program(ctx, src).build()
+        self.qx, self.qy = qx, qy
+
 
         #buffers
         mf = cl.mem_flags
-        self.qx_b = cl.Buffer(self.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qx)
-        self.qy_b = cl.Buffer(self.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qy)
-        self.res_b = cl.Buffer(self.ctx, mf.WRITE_ONLY, qx.nbytes)
-        self.res = np.empty_like(self.qx)
+        self.qx_b = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qx)
+        self.qy_b = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qy)
+        self.res_b = cl.Buffer(ctx, mf.WRITE_ONLY, qx.nbytes)
+        self.res = np.empty_like(qx)
 
     def eval(self, pars):
 
+        _ctx,queue = card()
         radius, length, thickness, axis_phi, axis_theta = [GaussianDispersion(int(pars[base+'_pd_n']), pars[base+'_pd'], pars[base+'_pd_nsigma'])
                                      for base in GpuCoreShellCylinder.PD_PARS]
@@ -47,5 +63,5 @@
                         for f in xrange(len(thickness.weight)):
 
-                            self.prg.CoreShellCylinderKernel(self.queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b,
+                            self.prg.CoreShellCylinderKernel(queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b,
                                     np.float32(axis_theta.value[k]), np.float32(axis_phi.value[l]), np.float32(thickness.value[f]),
                                     np.float32(length.value[j]), np.float32(radius.value[i]), np.float32(pars['scale']),
@@ -54,5 +70,5 @@
                                     np.float32(pars['shell_sld']), np.float32(pars['solvent_sld']),np.uint32(size),
                                     np.uint32(self.qx.size))
-                            cl.enqueue_copy(self.queue, self.res, self.res_b)
+                            cl.enqueue_copy(queue, self.res, self.res_b)
 
                             sum += self.res
Index: cylcode.py
===================================================================
--- cylcode.py	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ cylcode.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -6,5 +6,19 @@
 import pyopencl as cl
 from weights import GaussianDispersion
+from sasmodel import card
 
+def set_precision(src, qx, qy, dtype):
+    qx = np.ascontiguousarray(qx, dtype=dtype)
+    qy = np.ascontiguousarray(qy, dtype=dtype)
+    if np.dtype(dtype) == np.dtype('float32'):
+        header = """\
+#define real float
+"""
+    else:
+        header = """\
+#pragma OPENCL EXTENSION cl_khr_fp64: enable
+#define real double
+"""
+    return header+src, qx, qy
 
 class GpuCylinder(object):
@@ -15,23 +29,23 @@
     PD_PARS = ['radius', 'length', 'cyl_theta', 'cyl_phi']
 
-    def __init__(self, qx, qy):
+    def __init__(self, qx, qy, dtype='float32'):
 
-        self.qx = np.asarray(qx, np.float32)
-        self.qy = np.asarray(qy, np.float32)
         #create context, queue, and build program
-        self.ctx = cl.create_some_context()
-        self.queue = cl.CommandQueue(self.ctx)
-        self.prg = cl.Program(self.ctx, open('Kernel-Cylinder.cpp').read()).build()
+        ctx,_queue = card()
+        src, qx, qy = set_precision(open('NR_BessJ1.cpp').read()+"\n"+open('Kernel-Cylinder.cpp').read(), qx, qy, dtype=dtype)
+        self.prg = cl.Program(ctx, src).build()
+        self.qx, self.qy = qx, qy
 
         #buffers
         mf = cl.mem_flags
-        self.qx_b = cl.Buffer(self.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qx)
-        self.qy_b = cl.Buffer(self.ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qy)
-        self.res_b = cl.Buffer(self.ctx, mf.WRITE_ONLY, qx.nbytes)
+        self.qx_b = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qx)
+        self.qy_b = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=self.qy)
+        self.res_b = cl.Buffer(ctx, mf.WRITE_ONLY, qx.nbytes)
         self.res = np.empty_like(self.qx)
 
     def eval(self, pars):
 
-        radius,length,cyl_theta,cyl_phi = \
+        _ctx,queue = card()
+        radius, length, cyl_theta, cyl_phi = \
             [GaussianDispersion(int(pars[base+'_pd_n']), pars[base+'_pd'], pars[base+'_pd_nsigma'])
              for base in GpuCylinder.PD_PARS]
@@ -48,4 +62,5 @@
         sub = pars['sldCyl'] - pars['sldSolv']
 
+        real = np.float32 if self.qx.dtype == np.dtype('float32') else np.float64
         #Loop over radius, length, theta, phi weight points
         for i in xrange(len(radius.weight)):
@@ -54,10 +69,11 @@
                     for l in xrange(len(cyl_phi.weight)):
 
-                        self.prg.CylinderKernel(self.queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b, np.float32(sub),
-                                           np.float32(radius.value[i]), np.float32(length.value[j]), np.float32(pars['scale']),
-                                           np.float32(radius.weight[i]), np.float32(length.weight[j]), np.float32(cyl_theta.weight[k]),
-                                           np.float32(cyl_phi.weight[l]), np.float32(cyl_theta.value[k]), np.float32(cyl_phi.value[l]),
+
+                        self.prg.CylinderKernel(queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b, real(sub),
+                                           real(radius.value[i]), real(length.value[j]), real(pars['scale']),
+                                           real(radius.weight[i]), real(length.weight[j]), real(cyl_theta.weight[k]),
+                                           real(cyl_phi.weight[l]), real(cyl_theta.value[k]), real(cyl_phi.value[l]),
                                            np.uint32(self.qx.size), np.uint32(size))
-                        cl.enqueue_copy(self.queue, self.res, self.res_b)
+                        cl.enqueue_copy(queue, self.res, self.res_b)
                         sum += self.res
                         vol += radius.weight[i]*length.weight[j]*pow(radius.value[i], 2)*length.value[j]
Index: fit.py
===================================================================
--- fit.py	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ fit.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -13,24 +13,31 @@
 set_beam_stop(data, 0.004)
 
-"""
+
+
+
 model = SasModel(data, GpuCylinder, scale=1, radius=64.1, length=266.96, sldCyl=.291e-6, sldSolv=5.77e-6, background=0,
                               cyl_theta=0, cyl_phi=0, radius_pd=0.1, radius_pd_n=10, radius_pd_nsigma=3,length_pd=0.1,
                               length_pd_n=5, length_pd_nsigma=3, cyl_theta_pd=0.1, cyl_theta_pd_n=5, cyl_theta_pd_nsigma=3,
-                              cyl_phi_pd=0.1, cyl_phi_pd_n=10, cyl_phi_pd_nsigma=3,)
-
+                              cyl_phi_pd=0.1, cyl_phi_pd_n=10, cyl_phi_pd_nsigma=3, dtype='float32')
+model.radius.range(0,100)
+model.length.range(0, 1000)
+model.cyl_theta.range(0,90)
+model.cyl_phi.range(0,90)
+"""
 model = SasModel(data, GpuEllipse, scale=.027, radius_a=60, radius_b=180, sldEll=.297e-6, sldSolv=5.773e-6, background=4.9,
                  axis_theta=0, axis_phi=90, radius_a_pd=0.1, radius_a_pd_n=10, radius_a_pd_nsigma=3, radius_b_pd=0.1, radius_b_pd_n=10,
                  radius_b_pd_nsigma=3, axis_theta_pd=0.1, axis_theta_pd_n=6, axis_theta_pd_nsigma=3, axis_phi_pd=0.1,
-                 axis_phi_pd_n=6, axis_phi_pd_nsigma=3)
+                 axis_phi_pd_n=6, axis_phi_pd_nsigma=3, dtype='float')
 
 model = SasModel(data, GpuLamellar, scale=1, bi_thick=100, sld_bi=.291e-6, sld_sol=5.77e-6, background=0,
-                 bi_thick_pd=0.1, bi_thick_pd_n=35, bi_thick_pd_nsigma=3)
+                 bi_thick_pd=0.1, bi_thick_pd_n=35, bi_thick_pd_nsigma=3, dtype='float')
 
-"""
-model = SasModel(data, GpuCoreShellCylinder, scale=1, radius=64.1, thickness=1, length=266.96, core_sld=.251e-6, shell_sld=6.2e-6,
-                 solvent_sld=5.77e-6, background=0, axis_theta=0, axis_phi=0, radius_pd=0.1, radius_pd_n=10, radius_pd_nsigma=3,
+
+model = SasModel(data, GpuCoreShellCylinder, scale=1, radius=64.1, thickness=1, length=266.96, core_sld=1e-6, shell_sld=1e-6,
+                 solvent_sld=4e-6, background=0, axis_theta=0, axis_phi=0, radius_pd=0.1, radius_pd_n=10, radius_pd_nsigma=3,
                  length_pd=0.1, length_pd_n=10, length_pd_nsigma=3, thickness_pd=0.1, thickness_pd_n=2, thickness_pd_nsigma=3,
                  axis_theta_pd=0.1, axis_theta_pd_n=2, axis_theta_pd_nsigma=3, axis_phi_pd=0.1, axis_phi_pd_n=2,
-                 axis_phi_pd_nsigma=3)
+                 axis_phi_pd_nsigma=3, dtype='float')
+"""
 
 model.scale.range(0,10)
Index: fit2.py
===================================================================
--- fit2.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
+++ fit2.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -0,0 +1,44 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+
+from bumps.names import *
+from cylcode import GpuCylinder
+from lamellarcode import GpuLamellar
+from ellipsecode import GpuEllipse
+from coreshellcylcode import GpuCoreShellCylinder
+from sasmodel import SasModel, load_data, set_beam_stop
+
+
+radial_data = load_data('JUN03289.DAT')
+set_beam_stop(radial_data, 0.004)
+trans_data = load_data('JUN03305.DAT')
+set_beam_stop(trans_data, 0.004)
+
+
+
+
+dtype='float32'
+radial = SasModel(radial_data,
+                  GpuCylinder, dtype=dtype,
+                  scale=1, radius=64.1, length=266.96, sldCyl=.291e-6, sldSolv=5.77e-6, background=0,
+                  cyl_theta=0, cyl_phi=0, radius_pd=0.1, radius_pd_n=10, radius_pd_nsigma=3,length_pd=0.1,
+                  length_pd_n=5, length_pd_nsigma=3, cyl_theta_pd=0.1, cyl_theta_pd_n=5, cyl_theta_pd_nsigma=3,
+                  cyl_phi_pd=0.1, cyl_phi_pd_n=10, cyl_phi_pd_nsigma=3)
+trans = SasModel(trans_data,
+                  GpuCylinder, dtype=dtype,
+                  **radial.parameters())
+
+radial.radius.range(0,100)
+radial.length.range(0, 1000)
+radial.cyl_theta.range(0,90)
+radial.cyl_phi.range(0,90)
+radial.scale.range(0,10)
+
+
+fv = FreeVariables(names=['radial','trans'],
+                   cyl_theta=radial.cyl_theta,
+                   cyl_phi = radial.cyl_phi)
+problem = FitProblem([radial,trans], freevars=fv)
+
+
+
Index: lamellarcode.py
===================================================================
--- lamellarcode.py	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ lamellarcode.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -3,7 +3,18 @@
 
 import numpy as np
-import math
 import pyopencl as cl
 from weights import GaussianDispersion
+
+def set_precision(src, qx, qy, dtype):
+    qx = np.ascontiguousarray(qx, dtype=dtype)
+    qy = np.ascontiguousarray(qy, dtype=dtype)
+    if dtype == 'double':
+        header = """\
+#pragma OPENCL EXTENSION cl_khr_fp64: enable
+#define real double
+"""
+        return header+src,qx,qy
+    else:
+        return src,qx,qy
 
 
@@ -12,14 +23,13 @@
         'scale':1, 'bi_thick':1, 'sld_bi':1e-6, 'sld_sol':0, 'background':0,
     }
-    PD_PARS = ['bi_thick']
 
-    def __init__(self, qx, qy):
+    def __init__(self, qx, qy, dtype='float'):
 
-        self.qx = np.asarray(qx, np.float32)
-        self.qy = np.asarray(qy, np.float32)
         #create context, queue, and build program
         self.ctx = cl.create_some_context()
         self.queue = cl.CommandQueue(self.ctx)
-        self.prg = cl.Program(self.ctx, open('Kernel-Lamellar.cpp').read()).build()
+        src,qx,qy = set_precision(open('Kernel-Lamellar.cpp').read(), qx, qy, dtype=dtype)
+        self.prg = cl.Program(self.ctx, src).build()
+        self.qx, self.qy = qx, qy
 
         #buffers
@@ -38,7 +48,8 @@
         sub = pars['sld_bi'] - pars['sld_sol']
 
+        real = np.float32 if self.qx.dtype == np.dtype('float32') else np.float64
         for i in xrange(len(bi_thick.weight)):
-            self.prg.LamellarKernel(self.queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b, np.float32(bi_thick.value[i]),
-                                    np.float32(pars['scale']), np.float32(sub), np.float32(pars['background']), np.uint32(self.qx.size))
+            self.prg.LamellarKernel(self.queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b, real(bi_thick.value[i]),
+                                    real(pars['scale']), real(sub), real(pars['background']), np.uint32(self.qx.size))
             cl.enqueue_copy(self.queue, self.res, self.res_b)
 
@@ -47,23 +58,4 @@
 
         return sum/norm + pars['background']
-
-    def lamellar_fit(self, pars, b_n=10, b_w=.1, sigma=3):
-
-        bi_thick = GaussianDispersion(b_n, b_w, sigma)
-        bi_thick.value, bi_thick.weight = bi_thick.get_weights(pars.bi_thick, 0, 1000, True)
-
-        sum, norm = 0.0, 0.0
-
-        for i in xrange(len(bi_thick.weight)):
-            self.prg.LamellarKernel(self.queue, self.qx.shape, None, self.qx_b, self.qy_b, self.res_b, np.float32(bi_thick.value[i]),
-                                    np.float32(pars.scale), np.float32(pars.sld_bi), np.float32(pars.sld_sol),
-                                    np.float32(pars.background), np.uint32(self.qx.size))
-            cl.enqueue_copy(self.queue, self.res, self.res_b)
-
-            sum += bi_thick.weight[i]*self.res
-            norm += bi_thick.weight[i]
-
-        return sum/norm + pars.background
-
 
 def demo():
Index: sasmodel.py
===================================================================
--- sasmodel.py	(revision 5378e40a7fb092abdefdce6d59001232f68a74e2)
+++ sasmodel.py	(revision 8a20be51c8c1b5b0757f10d24eb2bba0e3ddff6c)
@@ -3,4 +3,5 @@
 
 import numpy as np
+import pyopencl as cl
 from bumps.names import Parameter
 from sans.dataloader.loader import Loader
@@ -11,4 +12,6 @@
     loader = Loader()
     data = loader.load(filename)
+    if data is None:
+        raise IOError("Data %r could not be loaded"%filename)
     return data
 
@@ -47,6 +50,16 @@
 
 
+GPU_CONTEXT = None
+GPU_QUEUE = None
+def card():
+    global GPU_CONTEXT, GPU_QUEUE
+    if GPU_CONTEXT is None:
+        GPU_CONTEXT = cl.create_some_context()
+        GPU_QUEUE = cl.CommandQueue(GPU_CONTEXT)
+    return GPU_CONTEXT, GPU_QUEUE
+
+
 class SasModel(object):
-    def __init__(self, data, model, **kw):
+    def __init__(self, data, model, dtype='float32', **kw):
         self.index = data.mask==0
         self.iq = data.data[self.index]
@@ -55,5 +68,5 @@
         self.qx = data.qx_data
         self.qy = data.qy_data
-        self.gpu = model(self.qx, self.qy)
+        self.gpu = model(self.qx, self.qy, dtype=dtype)
         pd_pars = set(base+attr for base in model.PD_PARS for attr in ('_pd','_pd_n','_pd_nsigma'))
         total_pars = set(model.PARS.keys()) | pd_pars
@@ -79,4 +92,5 @@
     def theory(self):
         pars = dict((k,v.value) for k,v in self._parameters.items())
+        print pars
         result = self.gpu.eval(pars)
         return result
